A modified differential evolution approach for dynamic economic dispatch with valve-point effects

被引:120
作者
Yuan, Xiaohui [1 ]
Wang, Liang [1 ]
Yuan, Yanbin [2 ]
Zhang, Yongchuan [1 ]
Cao, Bo [3 ]
Yang, Bo [3 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Hydropower & Informat Engn, Wuhan 430074, Peoples R China
[2] Wuhan Univ Technol, Sch Resource & Environm Engn, Wuhan 430070, Peoples R China
[3] Cent China Grid Co Ltd, Wuhan 430077, Peoples R China
基金
中国国家自然科学基金;
关键词
Differential evolution; Economic dispatch; Heuristic search; Valve-point effects;
D O I
10.1016/j.enconman.2008.08.016
中图分类号
O414.1 [热力学];
学科分类号
摘要
Dynamic economic dispatch (DED) plays an important role in power system operation, which is a complicated non-linear constrained optimization problem. It has nonsmooth and nonconvex characteristic when generation unit valve-point effects are taken into account. This paper proposes a modified differential evolution approach (MDE) to solve DED problem with valve-point effects. in the proposed MDE method, feasibility-based selection comparison techniques and heuristic search rules are devised to handle constraints effectively. In contrast to the penalty function method, the constraints-handling method does not require penalty factors or any extra parameters and can guide the population to the feasible region quickly. Especially, it can be satisfied equality constraints of DED problem precisely. Moreover, the effects of two crucial parameters on the performance of the MDE for DED problem are studied as well. The feasibility and effectiveness of the proposed method is demonstrated for application example and the test results are compared with those of other methods reported in literature. It is shown that the proposed method is capable of yielding higher quality solutions. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3447 / 3453
页数:7
相关论文
共 25 条
[1]  
[Anonymous], IEEE T POWER SYST
[2]  
[Anonymous], 2003, APPL SOFT COMPUT J, DOI DOI 10.1016/S1568-4946(02)00062-5
[3]   A hybrid EP and SQP for dynamic economic dispatch with nonsmooth fuel cost function [J].
Attaviriyanupap, P ;
Kita, H ;
Tanaka, E ;
Hasegawa, J .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2002, 17 (02) :411-416
[4]   Hybrid real coded genetic algorithm solution to economic dispatch problem [J].
Baskar, S ;
Subbaraj, P ;
Rao, MVC .
COMPUTERS & ELECTRICAL ENGINEERING, 2003, 29 (03) :407-419
[5]   Chaotic particle swarm optimization for economic dispatch considering the generator constraints [J].
Cai Jiejin ;
Ma Xiaoqian ;
Li Lixiang ;
Peng Haipeng .
ENERGY CONVERSION AND MANAGEMENT, 2007, 48 (02) :645-653
[6]   Non-convex economic dispatch: A direct search approach [J].
Chen, Chun-Lung .
ENERGY CONVERSION AND MANAGEMENT, 2007, 48 (01) :219-225
[7]   Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels [J].
Chiang, CL .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (04) :1690-1699
[8]   Improved differential evolution algorithms for handling economic dispatch optimization with generator constraints [J].
Coelho, Leandro dos Santos ;
Mariani, Viviana Cocco .
ENERGY CONVERSION AND MANAGEMENT, 2007, 48 (05) :1631-1639
[9]   An efficient constraint handling method for genetic algorithms [J].
Deb, K .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2000, 186 (2-4) :311-338
[10]   Particle swarm optimization to solving the economic dispatch considering the generator constraints [J].
Gaing, ZL .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (03) :1187-1195